应用于增强/ 虚拟现实中的模型简化

随着计算机图形学的发展,应用于增强/虚拟现实的模型日趋复杂.为了更好地展示出模型的细节同时保证帧率,需要强大的硬件设备或者低复杂度的模型.实际应用中往往选择后者,降低模型的精细度来保障增强/虚拟现实的实时性成了一个挑战.文章提出了基于贪心算法和拉普拉斯平滑处理的模型简化和优化方法.实验结果表明,在简化相同百分比时,这种方法失真度更小,可以更好地满足增强/虚拟现实设备的实时性.

The Model Simplification Applied to Agmented Reality and Virtual Reality

With the development of computer graphics, the models applied to agmented reality(AR) /virtual reality (VR) tend to be more complicated. Highly detailed representation without reducing frame rate either requires powerful computing devices or models with low complexity. The latter one is usually a more practical choice. Reducing the fineness of model to protect the AR/VR in real-time becomes a challenge. In this paper, a new method based on greedy assignment and Laplacian smoothing algorithm was introduced. Experimental results demonstrate that the proposed method has the least distortion under the same ratio of simplification, and can better meet the real-time requirements of AR/VR.